CorReg: Linear Regression Based on Linear Structure Between Variables

Linear regression based on a recursive structural equation model
(explicit multiples correlations) found by a M.C.M.C. algorithm. It permits to face
highly correlated variables. Variable selection is included (by lasso,
elastic net, etc.). It also provides some graphical tools for basic
statistics.